Alternatives and similar repositories for glm-intro

Users that are interested in glm-intro are comparing it to the libraries listed below

• slinderman / theano_pyglm
  Generalized linear models for neural spike train modeling, in Python! With GPU-accelerated fully-Bayesian inference, MAP inference, and n…
  ☆45Updated 11 years ago
• patrickmineault / xcorr-notebooks
  An ongoing collection of ipython notebooks on neuroscience from xcorr: computational neuroscience.
  ☆78Updated 3 years ago
• neurospin / pylearn-parsimony
  Structured Machine Learning in Python
  ☆46Updated 2 years ago
• ganguli-lab / twpca
  🕝 Time-warped principal components analysis (twPCA)
  ☆127Updated 4 years ago
• mattjj / pybasicbayes
  ☆155Updated 6 years ago
• PsychoinformaticsLab / nipymc
  Bayesian mixed-effects modeling of fMRI data in Python
  ☆39Updated 4 years ago
• junpenglao / Bayesian-Cognitive-Modeling-in-Pymc3
  PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course
  ☆96Updated 7 years ago
• mackelab / autohmm
  Hidden Markov Models (HMMs) with tied states and autoregressive observations
  ☆23Updated 5 years ago
• mslugocki / bayesfit
  Bayesian Psychometric Curve Fitting Tool
  ☆45Updated 9 months ago
• robince / pyentropy
  Information Theoretic Tools for Python
  ☆95Updated 6 years ago
• slinderman / thesis
  My PhD Thesis
  ☆22Updated 9 years ago
• statlab / permute
  permutation tests and confidence sets
  ☆58Updated last month
• mattjj / pyhsmm-autoregressive
  autoregressive plugin
  ☆27Updated 2 years ago
• koepsell / phase-coupling-estimation
  Implementation of Phase Coupling Estimation in Python and Matlab (see http://arxiv.org/abs/0906.3844 )
  ☆16Updated 11 years ago
• slinderman / pyglm
  Interpretable neural spike train models with fully-Bayesian inference algorithms
  ☆48Updated 7 years ago
• cgevans / scikits-bootstrap
  Python/numpy bootstrap confidence interval estimation.
  ☆179Updated 2 months ago
• hstrey / Hidden-Markov-Models-pymc3
  Implementation of Hidden Markov Models in pymc3
  ☆62Updated 8 years ago
• strawlab / best
  Bayesian estimation supersedes the t test
  ☆145Updated 3 years ago
• arthurmensch / modl
  Randomized online matrix factorization
  ☆140Updated 5 years ago
• frsong / pycog
  Train excitatory-inhibitory recurrent neural networks for cognitive tasks.
  ☆50Updated 9 years ago
• mwaskom / Psych216
  A translation of Kendrick's MATLAB statistics class materials into Python
  ☆39Updated 12 years ago
• compmem / ptsa
  Python Time Series Analysis (PTSA, pronounced "pizza")
  ☆42Updated 8 years ago
• rdevon / cortex_old
  Cortex - Deep learning tools for neuroimaging
  ☆31Updated 8 years ago
• powerscorinne / GLRM
  ☆99Updated 7 years ago
• HIPS / hips-lib
  Library of common tools for machine learning research.
  ☆41Updated 7 years ago
• glm-tools / pyglmnet
  Python implementation of elastic-net regularized generalized linear models
  ☆285Updated 2 years ago
• Team-BK / Biomag2016
  ☆10Updated 8 years ago
• hddm-devs / hddm
  HDDM is a python module that implements Hierarchical Bayesian parameter estimation of Drift Diffusion Models (via PyMC).
  ☆289Updated last year
• ferrine / gelato
  Bayesian dessert for Lasagne
  ☆83Updated 8 years ago
• hddm-devs / kabuki
  Kabuki is a Python toolbox that allows easy creation of hierarchical Bayesian models for the cognitive sciences.
  ☆73Updated 2 years ago